{"id":"W4313478995","doi":"10.1016/j.eswa.2022.119494","title":"Dynamic blockchain adoption for freshness-keeping in the fresh agricultural product supply chain","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Blockchain; Supply chain; Agriculture; Business; Product (mathematics); Cold chain; Commerce; Environmental economics; Industrial organization; Computer science; Marketing; Economics; Food science; Computer security; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00324339,0.0003635116,0.0004090507,0.0008151846,0.001039083,0.002138949,0.001218329,0.001173954,0.01359514],"category_scores_gemma":[0.009217113,0.0002574477,0.0003437125,0.001237106,0.0006681325,0.005358809,0.002730415,0.001106713,0.001797629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028712,"about_ca_system_score_gemma":0.002308292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004496883,"about_ca_topic_score_gemma":0.005619314,"domain_scores_codex":[0.9982158,0.000577508,0.00008523961,0.0003226834,0.000445597,0.0003531556],"domain_scores_gemma":[0.9923334,0.003352066,0.0004350403,0.001811845,0.001355759,0.0007118699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00418598,0.001789692,0.03722483,0.0006925358,0.0001704801,0.002741528,0.002933378,0.2463737,0.04545945,0.09306694,0.01324606,0.5521154],"study_design_scores_gemma":[0.0002965131,0.001061303,0.008598,0.0002051288,0.0001287578,0.0004842896,0.002189569,0.8703904,0.02072085,0.06427003,0.03153421,0.000120985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8528414,0.0006969433,0.1047647,0.001644574,0.0002020093,0.0003793261,0.0005330088,0.001311967,0.03762609],"genre_scores_gemma":[0.9899941,0.0001153551,0.006802089,0.00003941515,0.00001049618,0.00002937506,0.000175713,0.00002562681,0.002807903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01359514,"threshold_uncertainty_score":0.04548025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917859603849657,"score_gpt":0.2435108359824423,"score_spread":0.2243322399439457,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}